Klaviyo Abandoned Fitting Room Flows: Convert High-Intent Try-Ons Into Revenue

Capture High-Intent 'Tried On Product' Events in Klaviyo

Style Swap AI emits a server-side 'Tried On Product' Klaviyo event on every completed try-on—no selfie ever persisted. On Shopify Online Store 2.0 the Theme App Extension fires it automatically; on Hydrogen/Next.js headless builds, the signed App Proxy route /apps/try-on/* forwards the same payload, and custom DOM events (seed-try-on:open, seed-try-on:add-to-cart, seed-try-on:complete-look-add) let you enrich it with multi-garment context.

• Upgrade to Runway ($49.99/mo, 350 included try-ons, $0.14 overage) to unlock Klaviyo sync, full embed, and dev events; verify the metric under Klaviyo → Analytics → Metrics as 'Tried On Product'. The 7-day trial (up to 50 credits) is enough to validate end-to-end.
• Event properties include product_handle, variant_id, try_on_mode (Quick 1K / Studio 2K), atmosphere, model_preset, complete_look array, and session_ts—use them for flow filters, conditional splits, and dynamic template variables like {{ event.product_handle }}.
• Identity resolution is mandatory: Klaviyo emails only identified profiles. Capture email via a Klaviyo form, account login, or checkout at or before try-on; anonymous events still attach to the profile once the shopper is identified.
• Headless: listen for seed-try-on:complete-look-add and POST the payload to Klaviyo's server-side Events API; keep privacyZeroPhotoStorage: true so images stay in volatile RAM with client-side EXIF stripping and max 1400px compression.
• Preview the shopper experience in the zero-install sandbox at https://seed-try-on.fly.dev/demo (~8–12s per try-on) before wiring the flow to production.

{
  "event": "Tried On Product",
  "customer_properties": { "$email": "shopper@example.com" },
  "properties": {
    "product_handle": "bouguessa-inspired-abaya",
    "variant_id": 44223355601178,
    "try_on_mode": "Studio",
    "atmosphere": "Desert Resort",
    "model_preset": "modest-hijab",
    "complete_look": ["abaya", "wide-leg-trousers", "silk-hijab"],
    "source": "style-swap-ai",
    "session_ts": "2026-11-04T14:23:00Z"
  }
}

Automate the 1-Hour Personalized Fitting Room Follow-Up

The first hour is the highest-converting window—the shopper still remembers the try-on image. Build a metric-triggered flow on 'Tried On Product' with a 1-hour delay, suppress recent purchasers, and rebuild the fitting room in the inbox using the event payload.

• Trigger: metric 'Tried On Product' → 1-hour time delay. Flow filter: skip profiles with a Placed Order event since triggering the flow; disable Smart Sending on this touchpoint so it is never suppressed.
• Subject line from payload: 'Your {{ event.atmosphere }} try-on is waiting' or 'Still thinking it over, {{ first_name|default:'there' }}?'—preview text references the product title and try-on mode.
• Hero image: reuse the try-on output or a modest studio model preset render—zero-photo storage means model_preset imagery is safe to feature in email creative.
• Merchandising: pull custom.pair_with metafields (or the Shopify Product Recommendations API) to assemble the 3-piece Complete the Look; the CTA is a 1-click bundle—POST an items[] array to /cart/add.js or use a cart permalink like /cart/44223355601178:1,44223355601179:1.
• Tag every link with UTM parameters (utm_source=klaviyo&utm_medium=email&utm_campaign=abandoned_fitting_room_1h) so orders/paid attribution ties back to this exact flow step.

Layer 24-Hour Social Proof and 72-Hour Urgency Flows

If the 1-hour email does not convert, two more touchpoints keep the session alive without asking for a new selfie—each references the original try-on context already stored on the Klaviyo profile.

• 24h 'Complete the Look' email: feature the 9:16 Social Story Card (1080×1920, client-side HTML5 canvas) with WhatsApp/Instagram share buttons via the Web Share API—turning the shopper into a distribution channel.
• 24h social proof block: pair the tried-on garment with reviews, UGC, or 'styled with' recommendations drawn from the complete_look array; for GCC catalogs render in Arabic with dir="rtl" and the modest-hijab preset.
• 72h urgency with conditional splits: if atmosphere is 'Golden Hour' or the category is outerwear/abaya, show low-stock or price-drop messaging; otherwise send a styling-tips angle ('5 ways to wear it') to avoid discount fatigue.
• Cadence guardrails: exit the flow on Placed Order at any step, cap the series at 3 touches, and suppress profiles already inside an active cart-abandonment flow to prevent double messaging.
• Persist the event on the profile for lifetime segmentation—build segments like '3+ try-ons, no order in 30 days' for win-back and VIP early-access campaigns.

Measure Closed-Loop ROI and Optimize Flow Cadence

Style Swap AI's Shopify orders/paid webhook closes the loop between try-on sessions and revenue. Map order events back to the original 'Tried On Product' payload to prove AOV uplift, conversion lift, and revenue per recipient for every flow step.

• Send a Klaviyo order event from the orders/paid webhook with $value, tried_on_product_handle, and try_on_session_ts so revenue attributes to the exact fitting room session.
• Compare try-on vs. non-try-on cohorts: track AOV uplift (benchmark Complete the Look bundles against a +18–30% target), conversion rate, and time-to-purchase from event to order.
• Flow health targets: open rate >55%, click rate >8%, revenue per recipient >$0.50; if the 1-hour email underperforms, A/B test subject lines that lead with atmosphere vs. product name.
• Real-time lever: listen for seed-try-on:add-to-cart—if the shopper adds from the try-on but abandons checkout, branch them into your standard cart-abandonment flow and suppress the 24h/72h fitting room touches.
• Scale the plan with volume: Trend $19.99/mo (100 try-ons, $0.16 overage) → Runway $49.99/mo (350, $0.14, Klaviyo sync) → Unlimited Fashion $199.99/mo (2,000, $0.10, Priority 2K generation + dedicated CSM).